Block 1 - Receive Resume & Job Data
- Type / Role
- n8n-nodes-base.webhook - webhook
- Config choices
- Version 2.1
How It Works This workflow automates candidate screening and job matching for recruiters, HR operations teams, and talent acquisition leads. It eliminates the manual effort of parsing resumes, eval...
n8n-nodes-base.webhook, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmchatopenai, @n8n/n8n-nodes-langchain.outputparserstructured, @n8n/n8n-nodes-langchain.agenttool, @n8n/n8n-nodes-langchain.toolcode, n8n-nodes-base.datatable, n8n-nodes-base.set
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Cheng Siong Chin.
Original n8n.io sourceThis workflow automates candidate screening and job matching for recruiters, HR operations teams, and talent acquisition leads. It eliminates the manual effort of parsing resumes, evaluating multi-dimensional candidate fit, and routing outcomes based on assessment confidence. Resume and job data are received via a POST webhook and passed directly to the Matching Agent Orchestrator, backed by a matching model and shared memory. The orchestrator coordinates four specialist agents in parallel: a Resume Parser Agent (structured extraction), a Skill Analysis Agent (competency mapping), an Experience Assessment Agent (seniority and relevance scoring), and a Cultural Fit Agent (organisational alignment evaluation). A Validation Logic Tool cross-checks outputs before a Ranking Output Parser produces a structured candidate ranking. Results are then checked against a confidence threshold — low-confidence cases trigger a review alert via email and are stored in Google Sheets for human follow-up, while high-confidence matches are prepared as analysis data, stored in Sheets, and distributed as a ranked report via email.
This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.
Showing the first 24 of 27 workflow blocks. Download the JSON for the full node graph.
| Workflow | Screen resumes and match candidates with GPT-4o, Google Sheets and email |
|---|---|
| Complexity | advanced |
| Nodes | 27 |
| Categories | HR, AI Summarization |
| Author | Cheng Siong Chin |
| Published | 29 Mar 2026 |
Use the JSON export at /data/workflows/14442/14442.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.
Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.
How It Works This workflow automates candidate screening and job matching for recruiters, HR operations teams, and talent acquisition leads. It eliminates the manual effort of parsing resumes, eval...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your HR, AI Summarization use case.